K. Myers

发表

Effect of noise correlation on detectability of disk signals in medical imaging.

H. Barrett, K. Myers, M. Borgstrom, 1985, Journal of the Optical Society of America. A, Optics and image science.

Binary Task Performance on Images Reconstructed Using Memsys 3: Comparison of Machine and Human Observers

Kyle J. Myers, R. F. Wagner, Robert F. Wagner, 1993 .

Gender-specific statistical models of pathological coronary arteries for generating simulated angiograms

Kyle J. Myers, Iacovos S. Kyprianou, William F. Pritchard, 2006, SPIE Medical Imaging.

A method to estimate the point response function of digital x-ray detectors from edge measurements

Kyle J. Myers, Aldo Badano, Brandon D. Gallas, 2007, SPIE Medical Imaging.

Acoustic Nuclear Magnetic Resonance In Biological Tissue

Kyle J. Myers, Harrison H. Barrett, T. J. Hirsch, 1986, Other Conferences.

Volume estimation of low-contrast lesions with CT: a comparison of performances from a phantom study, simulations and theoretical analysis

N. Petrick, B. Sahiner, K. Myers, 2015, Physics in medicine and biology.

The equivalence of a human observer and an ideal observer in binary diagnostic tasks

Frank W. Samuelson, Kyle J. Myers, Berkman Sahiner, 2013, Medical Imaging.

Cost effectiveness analysis of improved blood pressure control in hypertensive patients with type 2 diabetes: UKPDS 40

Philip D. Harvey, J. Levy, C. Wallace, 1998, BMJ.

Statistical analysis of lung nodule volume measurements with CT in a large-scale phantom study.

N. Petrick, B. Sahiner, K. Myers, 2015, Medical physics.

Discrimination of Pulmonary Nodule Volume Change for Low- and High-contrast Tasks in a Phantom CT Study with Low-dose Protocols.

B. Berman, N. Petrick, B. Sahiner, 2019, Academic Radiology.

Assessing the ability of generative adversarial networks to learn canonical medical image statistics

Varun A. Kelkar, F. Brooks, M. Anastasio, 2022, 2204.12007.

Comparison of in vivo scintillation probes and gamma cameras for detection of small, deep tumours.

H. B. Barber, H. Barrett, K. Myers, 1989, Physics in medicine and biology.

Evaluation of Digital Breast Tomosynthesis as Replacement of Full-Field Digital Mammography Using an In Silico Imaging Trial

Frank W. Samuelson, Kyle J. Myers, Rongping Zeng, 2018, JAMA network open.

Physiological random processes in precision cancer therapy

Kyle J Myers, Eric Clarkson, Harrison H Barrett, 2018, PloS one.

Benefit of overlapping reconstruction for improving the quantitative assessment of CT lung nodule volume.

Kyle J Myers, Rongping Zeng, Berkman Sahiner, 2013, Academic radiology.

X-ray properties of an anthropomorphic breast phantom for MRI and x-ray imaging.

Kyle J Myers, Aldo Badano, Andreu Badal, 2011, Physics in medicine and biology.

Assessing the Ability of Generative Adversarial Networks to Learn Canonical Medical Image Statistics

Varun A. Kelkar, F. Brooks, M. Anastasio, 2022, IEEE Transactions on Medical Imaging.

Efficiency of the human observer for detecting a Gaussian signal at a known location in non-Gaussian distributed lumpy backgrounds.

Kyle J Myers, Aldo Badano, N. Petrick, 2007, Journal of the Optical Society of America. A, Optics, image science, and vision.

Volumetric Analysis of Non-Calcified Lung Nodules with Thoracic CT : an Updated Review of Related work over the Last 5 Years

Kyle J Myers, Rongping Zeng, Berkman Sahiner, 2014 .

Optically coupled digital radiography: sources of inefficiency

R. Gagne, Liying Chen, K. Myers, 2001 .

Foundations of Image Science

Kyle J. Myers, Harrison H. Barrett, Sreeram Dhurjaty, 2003, J. Electronic Imaging.

A data‐efficient method for local noise power spectrum (NPS) estimation in FDK‐reconstructed 3D cone‐beam CT

H. Ning, K. Myers, R. Zeng, 2019, Medical physics.

5. Measurement of Image Quality Parameters

Kyle J. Myers, Rodney A. Brooks, Charles E. Metz, 1996 .

Special Section on Pioneers in Medical Imaging: Honoring the Memory of Robert F. Wagner

K. Myers, Weijie Chen, 2015 .

3. Quality of the Acquired Data

Kyle J. Myers, Rodney A. Brooks, Charles E. Metz, 1996 .

Minimum detectable change in lung nodule volume in a phantom CT study.

Kyle J Myers, Rongping Zeng, Berkman Sahiner, 2013, Academic radiology.

Estimating local noise power spectrum from a few FBP-reconstructed CT scans.

Kyle J Myers, Rongping Zeng, Berkman Sahiner, 2016, Medical physics.

Approximations of noise covariance in multi-slice helical CT scans: impact on lung nodule size estimation.

Kyle J Myers, Rongping Zeng, Nicholas Petrick, 2011, Physics in medicine and biology.

Fifty years of SPIE Medical Imaging proceedings papers

R. Nishikawa, A. Madabhushi, R. Summers, 2022, Journal of medical imaging.

Appendix C: The Ideal Bayesian Observer

Kyle J. Myers, Rodney A. Brooks, Charles E. Metz, 1996 .

Appendix G: Models of the Human Observer

Kyle J. Myers, Rodney A. Brooks, Charles E. Metz, 1996 .

6. Future Work

Kyle J. Myers, Rodney A. Brooks, Charles E. Metz, 1996 .

Analyzing neural networks applied to an anatomical simulation of the breast

M. Eckstein, C. Abbey, M. Anastasio, 2022, Medical Imaging.

Performance Evaluation of Computed Tomography Systems - The Report of AAPM Task Group 233

Kyle J. Myers, Ehsan Samei, Shuai Leng, 2019 .

An autoregressive method for high-resolution one-dimensional chemical-shift imaging.

R. F. Wagner, L W Grossman, L. W. Grossman, 1994, Journal of Magnetic Resonance - Series B.

Tight blood pressure control and risk of macrovascular and microvascular complications in type 2 diabetes: UKPDS 38

Philip D. Harvey, J. Levy, C. Wallace, 1998, BMJ.

Impact of Reconstruction Algorithms and Gender-Associated Anatomy on Coronary Calcium Scoring with CT: An Anthropomorphic Phantom Study.

N. Petrick, B. Sahiner, K. Myers, 2016, Academic radiology.

New Directions in Coded-Aperture Imaging

H. B. Barber, H. Barrett, K. Myers, 1984 .

CHAPTER 9 Wagner ’ s Unified Theory of Image Quality : Three Decades Later

K. Myers, I. Kyprianou, Subok Park, 2010 .

Efficacy of atenolol and captopril in reducing risk of macrovascular and microvascular complications in type 2 diabetes: UKPDS 39

Philip D. Harvey, J. Levy, C. Wallace, 1998, BMJ.

Observer adaptation to unnatural CT-like noise textures

Craig K. Abbey, Frank W. Samuelson, Rongping Zeng, 2019, Journal of Vision.

Image quality: Introduction

Miguel P. Eckstein, Kyle J. Myers, Matthew A. Kupinski, 2007 .

Signal recovery as estimation: A discourse on null functions and nuisance parameters

H. Barrett, K. Myers, 2007 .

Objective assessment of image quality. IV. Application to adaptive optics.

Kyle J Myers, Harrison H Barrett, Christopher Dainty, 2006, Journal of the Optical Society of America. A, Optics, image science, and vision.

Noncalcified lung nodules: volumetric assessment with thoracic CT.

Kyle J Myers, Nicholas Petrick, Marios A Gavrielides, 2009, Radiology.

Task-based measures of image quality and their relation to radiation dose and patient risk

Kyle J Myers, Christoph Hoeschen, Matthew A Kupinski, 2015, Physics in medicine and biology.

Automated Quantitative Assessment of HER-2/neu Immunohistochemical Expression in Breast Cancer

Kyle J. Myers, Marios A. Gavrielides, Hela Masmoudi, 2009, IEEE Transactions on Medical Imaging.

Quantitative imaging biomarkers: A review of statistical methods for computer algorithm comparisons

Kyle J Myers, Huiman X Barnhart, Paul E Kinahan, 2014, Statistical methods in medical research.

Information-Theoretic Approach for Analyzing Bias and Variance in Lung Nodule Size Estimation With CT: A Phantom Study

Kyle J. Myers, Marios A. Gavrielides, Rongping Zeng, 2010, IEEE Transactions on Medical Imaging.

Objective assessment of image quality and dose reduction in CT iterative reconstruction.

J Y Vaishnav, W C Jung, L M Popescu, 2014, Medical physics.

Addition of a channel mechanism to the ideal-observer model.

H H Barrett, K J Myers, H. Barrett, 1987, Journal of the Optical Society of America. A, Optics and image science.

Evaluating imaging and computer-aided detection and diagnosis devices at the FDA.

Kyle J Myers, Berkman Sahiner, Heang-Ping Chan, 2012, Academic radiology.

Detectable change of lung nodule volume with CT in a phantom study with high and low signal to background contrast

Kyle J. Myers, Marios A. Gavrielides, Rongping Zeng, 2016, SPIE Medical Imaging.

Volume estimation of multi-density nodules with thoracic CT

Marios A. Gavrielides, Qin Li, Rongping Zeng, 2014, Medical Imaging.

Relating Fisher Information to Detectability of Changes in Nodule Characteristics with CT

Qin Li, Kyle J. Myers, Marios A. Gavrielides, 2013, IPMI.

Kyle J. Myers, R. F. Wagner, Robert F. Wagner, 1997, Medical Imaging.

An anthropomorphic phantom for quantitative evaluation of breast MRI.

Kyle J Myers, Aldo Badano, Jeff H Duyn, 2011, Medical physics.

A template-based approach for the analysis of lung nodules in a volumetric CT phantom study

Kyle J. Myers, Marios A. Gavrielides, Rongping Zeng, 2009, Medical Imaging.

Monte Carlo package for simulating radiographic images of realistic anthropomorphic phantoms described by triangle meshes

Kyle J. Myers, Andreu Badal, Iacovos S. Kyprianou, 2007, SPIE Medical Imaging.

Performance Evaluation of Computed Tomography Systems: Summary of AAPM Task Group 233.

Kyle J Myers, Ehsan Samei, Shuai Leng, 2019, Medical physics.

A virtual trial framework for quantifying the detectability of masses in breast tomosynthesis projection data.

Kyle J Myers, Subok Park, Stefano Young, 2013, Medical physics.

Lubberts effect in columnar phosphors.

Kyle J Myers, Aldo Badano, Brandon D Gallas, 2004, Medical physics.

Impact of prevalence and case distribution in lab-based diagnostic imaging studies

Kyle J Myers, Berkman Sahiner, Brandon D Gallas, 2019, Journal of medical imaging.

Objective assessment of image quality. II. Fisher information, Fourier crosstalk, and figures of merit for task performance.

R. F. Wagner, H H Barrett, R F Wagner, 1995, Journal of the Optical Society of America. A, Optics, image science, and vision.

Two methods for simulation of dense tissue distribution in software breast phantoms

Kyle J. Myers, Rongping Zeng, Andrew D. A. Maidment, 2013, Medical Imaging.

Foundations of Image Science

Harrison H. Barrett, Kyle J. Myers, Sreeram Dhurjaty, 2003, J. Electronic Imaging.

Toward consensus on quantitative assessment of medical imaging systems.

R. F. Wagner, C E Metz, R M Nishikawa, 1995, Medical physics.

Human and quasi-Bayesian observers of images limited by quantum noise, object-variability, and artifacts

Kyle J. Myers, R. F. Wagner, Robert F. Wagner, 1994, Medical Imaging.

Ideal Observer Models of Visual Signal Detection

Kyle J. Myers, K. Myers, 2000 .

Applications of Statistical Decision Theory in Nuclear Medicine

Kyle J. Myers, Harrison H. Barrett, James M. Woolfenden, 1988 .

Reconstruction of MR images from data acquired on a general nonregular grid by pseudoinverse calculation

Rik Van de Walle, Kyle J. Myers, Ignace Lemahieu, 2000, IEEE Transactions on Medical Imaging.

Objective Task-Based Evaluation of Artificial Intelligence-Based Medical Imaging Methods:: Framework, Strategies, and Role of the Physician.

Kyle J Myers, Abhinav K. Jha, Arman Rahmim, 2021, PET clinics.

Optimization of digital breast tomosynthesis (DBT) acquisition parameters for human observers: effect of reconstruction algorithms

Kyle J Myers, Rongping Zeng, Aldo Badano, 2017, Physics in medicine and biology.

Hotelling trace criterion and its correlation with human-observer performance.

H H Barrett, K J Myers, H. Barrett, 1987, Journal of the Optical Society of America. A, Optics and image science.

Constrained reconstruction applied to 2-D chemical shift imaging

Kyle J. Myers, Keith A. Wear, S. S. Rajan, 1997, IEEE Transactions on Medical Imaging.

Incorporating Human Contrast Sensitivity in Model Observers for Detection Tasks

Kyle J. Myers, Aldo Badano, Subok Park, 2009, IEEE Transactions on Medical Imaging.

Leveraging the Digital Mammography Image Screening Trial (DMIST) Data for the Evaluation of Computer-Aided Detection (CAD) Devices: A Proposal

Frank W. Samuelson, Kyle J. Myers, R. F. Wagner, 2006, Digital Mammography / IWDM.

Multireader multicase variance analysis for binary data.

Kyle J Myers, Brandon D Gallas, Gene A Pennello, 2007, Journal of the Optical Society of America. A, Optics, image science, and vision.

Evaluating procedures for establishing generative adversarial network-based stochastic image models in medical imaging

Varun A. Kelkar, F. Brooks, M. Anastasio, 2022, Medical Imaging.

Assistance tools for the evaluation of machine learning algorithm performance: the decision tree-based tools developed by the Medical Imaging and Data Resource Center (MIDRC) Technology Development Project (TDP) 3c effort

M. Giger, M. McNitt-Gray, B. Sahiner, 2023, Medical Imaging.

Discrimination tasks in simulated low-dose CT noise.

J. Boone, M. Eckstein, C. Abbey, 2023, Medical physics.

Human observer templates for lesion discrimination tasks

Craig K. Abbey, Frank W. Samuelson, Rongping Zeng, 2020, Medical Imaging.

Classification images for localization performance in ramp-spectrum noise.

Rongping Zeng, John M Boone, Miguel P Eckstein, 2018, Medical physics.

CT metal artifact reduction algorithms: Toward a framework for objective performance assessment

J Y Vaishnav, R Zeng, K J Myers, 2020, Medical physics.

Signal detectability in digital radiography: spatial domain figures of merit.

Kyle J Myers, Jonathan S. Boswell, R. Gagne, 2003, Medical physics.

FDA phantom CT database: a resource for the assessment of lung nodule size estimation methodologies and software development

Kyle J. Myers, Marios A. Gavrielides, Rongping Zeng, 2010, Medical Imaging.

Singular-value decomposition of a tomosynthesis system.

Kyle J Myers, Harrison H Barrett, Christopher Dainty, 2010, Optics express.

Singular Vectors of a Linear Imaging System as Efficient Channels for the Bayesian Ideal Observer

Kyle J. Myers, Subok Park, Joel M. Witten, 2009, IEEE Transactions on Medical Imaging.

Noise and signal detection in digital x-ray detectors using the spatial definition of SNR

Kyle J. Myers, Aldo Badano, Subok Park, 2009, Medical Imaging.

Singular value description of a digital radiographic detector: theory and measurements.

Kyle J Myers, Aldo Badano, Brandon D Gallas, 2008, Medical physics.

Singular vectors of a linear imaging system as efficient channels for the ideal observer in detection tasks involving non-Gaussian distributed lumpy images

Kyle J. Myers, Subok Park, Joel M. Witten, 2008, SPIE Medical Imaging.

Singular-value decomposition for through-focus imaging systems.

Kyle J Myers, Harrison H Barrett, Christopher Dainty, 2006, Journal of the Optical Society of America. A, Optics, image science, and vision.

Detection And Discrimination Of Known Signals In Inhomogeneous, Random Backgrounds

Kyle J. Myers, R. F. Wagner, Robert F. Wagner, 1989, Medical Imaging.

Task performance based on the posterior probability of maximum-entropy reconstructions obtained with MEMSYS 3

Kyle J. Myers, Kenneth M. Hanson, K. Hanson, 1991, Medical Imaging.

Comparison of the algebraic reconstruction technique with the maximum entropy reconstruction technique for a variety of detection tasks

Kyle J. Myers, Kenneth M. Hanson, K. Hanson, 1990, Medical Imaging.

Rayleigh Task Performance as a Method to Evaluate Image Reconstruction Algorithms

Kyle J. Myers, Kenneth M. Hanson, K. Hanson, 1991 .

Performance of the Rayleigh task based on the posterior probability of tomographic reconstructions

K. Hanson, K. Myers, K.M. Hanson, 1991, Conference Record of the 1991 IEEE Nuclear Science Symposium and Medical Imaging Conference.

Human vs. machine performance

R. F. Wagner, K. J. Myers, A. E. Burgess, 2017 .

Investigation of reading mode and relative sensitivity as factors that influence reader performance when using computer-aided detection software.

Kyle J Myers, Nicholas Petrick, Sophie Paquerault, 2009, Academic radiology.

Radiance and photon noise: imaging in geometrical optics, physical optics, quantum optics and radiology

Luca Caucci, Kyle J. Myers, Harrison H. Barrett, 2016, Optical engineering.

Radiance and photon noise: imaging in geometrical optics, physical optics, quantum optics, and radiology

H. Barrett, K. Myers, Luca Caucci, 2014, Optics & Photonics - Optical Engineering + Applications.

Aperture optimization for emission imaging: effect of a spatially varying background.

R. F. Wagner, H H Barrett, J P Rolland, 1990, Journal of the Optical Society of America. A, Optics and image science.